Blind-spot networks on the other hand, essentially treat denoising as an image inpainting task, where a pixel is inferred from its surroundings, excluding the pixel itself from consideration. Accordingly, since the neural network is blind to the pixels it is denoising, these methods are impeded from overfitting the data. Blind-spot methods, in particular Self2Self (S2S) [1]}, offer unparalleled accuracy although they can be quite slow. They also throw away the most valuable piece of information, the pixel itself, when determining the true signal at that location.
